Instructions to use TeeA/codeLlama_text2sql_word_r4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TeeA/codeLlama_text2sql_word_r4 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="TeeA/codeLlama_text2sql_word_r4")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TeeA/codeLlama_text2sql_word_r4")
model = AutoModelForCausalLM.from_pretrained("TeeA/codeLlama_text2sql_word_r4", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use TeeA/codeLlama_text2sql_word_r4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TeeA/codeLlama_text2sql_word_r4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TeeA/codeLlama_text2sql_word_r4",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/TeeA/codeLlama_text2sql_word_r4

SGLang

How to use TeeA/codeLlama_text2sql_word_r4 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "TeeA/codeLlama_text2sql_word_r4" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TeeA/codeLlama_text2sql_word_r4",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "TeeA/codeLlama_text2sql_word_r4" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TeeA/codeLlama_text2sql_word_r4",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TeeA/codeLlama_text2sql_word_r4 with Docker Model Runner:
```
docker model run hf.co/TeeA/codeLlama_text2sql_word_r4
```

TeeA commited on Apr 15, 2024

Commit

356ad62

verified ·

1 Parent(s): 95f1d00

Training in progress, step 8200

Browse files

Files changed (2) hide show

adapter_model.safetensors +1 -1
runs/Apr15_12-13-10_kao-dgxa-e10-u17/events.out.tfevents.1713179608.kao-dgxa-e10-u17.2134547.1 +2 -2

adapter_model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e31d9c77c57d1e43744e8cd87809437c2a31e7c5c78f663debe0c240c2b693c4
 size 40036040

 version https://git-lfs.github.com/spec/v1
+oid sha256:64154ccecf96861e94da59816f3bd54c730bd4b9b219f6a696e80c40d82a17e5
 size 40036040

runs/Apr15_12-13-10_kao-dgxa-e10-u17/events.out.tfevents.1713179608.kao-dgxa-e10-u17.2134547.1 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:41cce7f6e4475754a5d1a109c458290fb1befca0d566c590ed8361bdda860151
-size 1703541

 version https://git-lfs.github.com/spec/v1
+oid sha256:eeedc47a242d8bc00dba641d7de13e6daf7bb228d45485b7e7af4c5ecc97c5e0
+size 1746012